The fastai deep learning library

The fastai book, published as Jupyter Notebooks

Interactive Data Visualization in the browser, from Python

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

📚 Parameterize, execute, and analyze notebooks

Automate code & data workflows with interactive Elixir notebooks

Create beautiful, publication-quality books and documents from computational content.

Build data pipelines, the easy way 🛠️

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

The fast.ai course notebooks

.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

The modern replacement for Jupyter Notebooks

Repository containing notebooks of my posts on Medium

Elyra extends JupyterLab with an AI centric approach.

DevOps Notebooks Built with Markdown

Gallery of OSMnx tutorials, usage examples, and feature demonstrations.

Google Colaboratory Notebooks and Repositories (by @firmai)

Backup & export all Evernote notes and notebooks